import seaborn as sns
from sklearn.datasets import load_iris
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt

iris=pd.DataFrame(load_iris()['data'])
names=['setosa','versicolor','virginica']
iris.columns=pd.Index(['sepal_length','sepal_width','petal_length','petal_width'])
sns.set()

sns.heatmap(np.random.rand(10,10))
plt.show()

sns.clustermap(iris)
plt.show()
